We Ran 1,800 Enterprise AI Experiments. Ontology Beat RAG Every Time.
· 6 min read
Most enterprise AI teams are building RAG pipelines — retrieval-augmented generation that fetches relevant documents and stuffs them into prompts. It works. But when we tested it against structured ontological grounding across 1,800 controlled experiments, 3 LLM models, and 5 regulated industries, ontology-grounded agents consistently outperformed RAG-augmented ones on the metrics that matter most in enterprise: metric accuracy, regulatory compliance, and role consistency.
Here's what the data shows — and why it matters for anyone building AI agents for regulated industries.